DECON CRYPTOECONOMICS LAB
Decon Cryptoeconomics Lab is at the forefront of researching
an efficient economic system architecture for blockchain networks.
Decon Cryptoeconomics Lab strives to lead the research for sturdy economic system architecture on ever-changing distributed networks such as blockchain.
Cryptoeconomics is a field of research consisting of token economy structures and cryptographic data exchange structure for efficient economic operations on blockchain networks. Cryptoeconomics is an essential element for designing the economic system architecture in distributed networks by utilizing tokens for efficient and safe production, distribution and consumption of goods and services without a central entity controlling resources.
Cryptoeconomics is a field of research with two categories: Token Economy Structure and Cryptographic Data Exchange Structure.
Enables and encourages designed participants behavior within the network; includes Consensus and Governance.
Consensus :A process to agree upon a decision regarding network operation and economic activities within the network by Token Economy participants. Governance :A process for updating consensus within blockchain; includes the creation , deletion and modification of consensus by participants.
Essential elements for mechanisms to work; includes Network, Participant, Token, Goods and Services.
Network :Where participants’ economic activities occur according to the designed mechanisms. Participant :Entity that participates in the production, distribution andconsumption of Goods and Services within Tokeneconomy. Participants act on behalf of themselves to maximize their own interests according to the designed Token Economy Mechanisms. Token :A medium of exchange, verification to vitalize sound Token Economic activities.
- Goods and
Services :By-product of all Token Economy Participant activities.
Data Encryption :
Data encryption and decryption technologies; includes asymmetric encryption technology, zero-proof knowledge and others.
Data Exchange :
Sending, storing and querying data of connected participants/nodes within the network.